{"id":"W4389109829","doi":"10.5539/cis.v16n4p47","title":"Malware Investigation and Analysis for Cyber Threat Intelligence: A Case Study of Flubot Malware","year":2023,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Malware; Exploit; Computer science; Cryptovirology; Computer security; Android (operating system); Hacker; Android malware; Mobile malware; Cyber-attack; Popularity; Cyber threats; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001057617,0.0004162421,0.0002426577,0.002013018,0.00284551,0.001213113,0.0006821485,0.001732517,0.001115371],"category_scores_gemma":[0.003918366,0.0002488256,0.0003609021,0.0009589347,0.001359622,0.001300728,0.001039672,0.0009234771,0.0003286503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001246347,"about_ca_system_score_gemma":0.0009666272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006090229,"about_ca_topic_score_gemma":0.02072021,"domain_scores_codex":[0.9989591,0.0004207431,0.00004360426,0.0000823012,0.0003276,0.000166715],"domain_scores_gemma":[0.9966431,0.002187317,0.0003281626,0.0001873684,0.0004271936,0.000226931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00066834,0.004518234,0.2978891,0.001070575,0.000102474,0.2143847,0.2097827,0.01074799,0.04213839,0.02297239,0.01384679,0.1818783],"study_design_scores_gemma":[0.00009646215,0.003429554,0.2884868,0.001155582,0.000224558,0.1537839,0.2773692,0.08787394,0.06497678,0.007141935,0.1151684,0.000292869],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917811,0.0002209309,0.002544566,0.0005040735,0.00001309155,0.0001621783,0.0001059778,0.00004084009,0.004627306],"genre_scores_gemma":[0.9883059,0.0004672788,0.007027596,0.0001985984,0.00001577137,0.00007754149,0.0001004959,0.00002422571,0.00378252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006090229,"threshold_uncertainty_score":0.01210958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03509295722799343,"score_gpt":0.3107684512511566,"score_spread":0.2756754940231632,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}